At a Glance
- Tasks: Lead the design and development of innovative AI applications in a dynamic team.
- Company: Join a global financial services leader shaping the future of Generative AI.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with top engineers and AI experts in a fast-paced environment.
- Why this job: Make a real impact on enterprise-scale AI products and strategies.
- Qualifications: Strong Python skills and experience with Large Language Models in regulated environments.
The predicted salary is between 80000 - 100000 £ per year.
We are working with a global financial services who are looking for an experienced Lead Engineer to join a high-profile Generative AI feature team developing AI-powered applications used daily by thousands of colleagues across the organisation.
This is an opportunity to play a key role in shaping the firms Generative AI strategy while leading the design, development, and deployment of innovative AI solutions within a highly regulated enterprise environment.
What You'll Be Doing- Leading the design and development of production-grade AI applications.
- Acting as a Subject Matter Expert (SME) for Generative AI technologies.
- Working closely with product, engineering, and business stakeholders to deliver scalable solutions.
- Evaluating and optimising Large Language Models (LLMs) and prompts.
- Supporting cloud-native deployments and DevOps initiatives.
- Strong Python development experience.
- Experience building applications using Large Language Models (LLMs), delivering AI solutions within regulated environments.
- Hands-on AWS experience including Bedrock, Lambda, S3, Lex, and CloudWatch.
- Experience with prompt engineering and LLM evaluation.
- Strong stakeholder management and communication skills.
- Work on enterprise-scale AI products.
- Influence Generative AI strategy within a leading global financial institution.
- Collaborate with some of the industry's leading engineers and AI practitioners.
- Deliver solutions that create measurable impact across the organisation.
If you're passionate about AI, cloud engineering, and leading technical innovation at scale, we'd love to hear from you.
Lead Engineer in London employer: Harvey Nash
Join a leading global financial services firm that champions innovation and collaboration, offering a dynamic work culture where your contributions directly shape the future of Generative AI. With hybrid working options in London or Knutsford, you'll enjoy a supportive environment that prioritises employee growth through continuous learning and engagement with top industry professionals. This role not only allows you to lead cutting-edge AI projects but also provides the opportunity to make a significant impact within a highly regulated enterprise setting.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with Generative AI or in financial services. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving LLMs and cloud deployments. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AWS and Generative AI technologies. Be ready to discuss your experience with prompt engineering and how you've tackled challenges in regulated environments.
✨Tip Number 4
Don't forget to apply through our website! We want to see your application and get to know you better. Plus, it’s the best way to ensure your CV lands in the right hands.
We think you need these skills to ace Lead Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, AWS, and LLMs. We want to see how your skills align with the role of Lead Engineer in Generative AI, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you the perfect fit for our team. Let us know how you can influence our Generative AI strategy.
Showcase Your Stakeholder Management Skills:In your application, highlight any experiences where you've worked closely with product, engineering, or business stakeholders. We value strong communication skills, so give us examples of how you've successfully collaborated in the past.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to lead innovative AI solutions!
How to prepare for a job interview at Harvey Nash
✨Know Your Generative AI Inside Out
Make sure you brush up on the latest trends and technologies in Generative AI. Be prepared to discuss your experience with LLMs and how you've applied them in previous projects. This will show that you're not just familiar with the tech, but that you can also lead discussions around it.
✨Showcase Your Python Prowess
Since strong Python development experience is essential, be ready to talk about specific projects where you've used Python to build applications. If possible, bring examples of your code or projects to demonstrate your skills. This will help you stand out as a candidate who can hit the ground running.
✨Highlight Your AWS Experience
Familiarity with AWS services like Bedrock, Lambda, and S3 is crucial for this role. Prepare to discuss how you've used these tools in past roles, particularly in cloud-native deployments. Sharing specific challenges you faced and how you overcame them will show your problem-solving abilities.
✨Communicate Like a Pro
Strong stakeholder management and communication skills are key. Practice articulating complex technical concepts in simple terms, as you'll need to collaborate with various teams. Consider preparing a few scenarios where you've successfully managed stakeholder expectations or led a team through a project.
